catenate15
Abdulmujeeb is a PhD student at the Institute of Molecular Biosciences (IMB) at the University of Queensland.
University of QueenslandAustralia
catenate15's Stars
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
visenger/awesome-mlops
A curated list of references for MLOps
huankoh/PSICHIC
PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence data
firmai/industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
gradio-app/gradio
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
josepraveen/free_monthly_learning_resources
free monthly courses, exam vouchers, and scholarships from various websites. Don't forget to star ⭐ this repository.
vfscalfani/CSN_tutorial
Jupyter Notebook Tutorials for Creating Chemical Space Networks
erik-menke/AnalyticalProjects
A series of jupyter notebooks to help chemistry students learn python for analytical chemistry
BacterialCellBiologyLab/eHooke
XuhanLiu/DrugEx
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
kevinkovalchik/UpSetPlotly
A Python package for creating UpSet plots using the Plotly framework
deepchem/moleculenet
Moleculenet.ai Datasets And Splits
deepchem/DeepLearningLifeSciences
Example code from the book "Deep Learning for the Life Sciences"
OUnke/SpookyNet
Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"
cyllab/CalcUS
Quantum Chemistry Web Platform
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
aikorea/awesome-rl
Reinforcement learning resources curated
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Machine-Learning-Tokyo/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
catenate15/deriver
PatWalters/clusterama
orico/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
aspuru-guzik-group/selfies
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
coleygroup/molpal
active learning for accelerated high-throughput virtual screening
wjm41/soapgp
Molecular Property Prediction using GP with a SOAP kernel